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Deep learning model for predicting lymph node metastasis around rectal cancer based on rectal tumor core area and mesangial imaging features.


ABSTRACT:

SUBMITTER: Guo L 

PROVIDER: S-EPMC12400577 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature

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Deep learning model for predicting lymph node metastasis around rectal cancer based on rectal tumor core area and mesangial imaging features.

Guo Lili L   Fu Kuang K   Wang Wenjia W   Zhou Li L   Chen Lu L   Jiang Miaomiao M  

BMC medical imaging 20250901 1


Assessing lymph node metastasis (LNM) involvement in patients with rectal cancer (RC) is fundamental in disease management. In this study, we used artificial intelligence (AI) technology to develop a segmentation model that automatically segments the tumor core area and mesangial tissue from magnetic resonance T2-weighted imaging (T2WI) and apparent diffusion coefficient (ADC) images collected from 122 RC patients to improve the accuracy of LNM prediction, after which omics machine modeling was  ...[more]

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